How to optimize image size using wand in python

纵然是瞬间 提交于 2019-12-09 12:14:34

问题


I want to resize and optimize png and jpg image size using wand.

With PIL, I'm able to save the same image with about a 3rd of the size if I specify the optimize option.

with open(filename, 'rb') as f:
    pimage = PImage.open(f)
    resized_pimage = pimage.resize((scaled_width, scaled_height), PImage.ANTIALIAS)            bytes_buffer = io.BytesIO()
    resized_pimage.save(bytes_buffer, format="PNG", optimize=True)

However, I'm not sure what the equivalent option for Wand is:

with default_storage.open(filename, 'rb') as f:
    img = WImage(file=f)
    img.resize(width=scaled_width, height=scaled_height, filter='gaussian')
    with WImage(width=scaled_width, height=scaled_height) as png:
        png.composite(img, top=0, left=0)
        png.format = 'png'
        bytes_buffer = io.BytesIO()
        png.save(file=bytes_buffer)

I read a few articles about image optimization for ImageMagic (e.g. http://www.smashingmagazine.com/2015/06/efficient-image-resizing-with-imagemagick/) but it is not obvious how I can do these in Wand (I'm a complete newbie in either Wand or PIL).

Any help/pointer would be greatly appreciated.


回答1:


Updated Answer

Setting the optimization with wand will require some additional MagickWand library extension/configuration. This is due to the quality attribute needing to be set on the wand data-structure, and not the image's instance. Confused? I am. Luckily Python's Wand library makes this easy. Try the following.

# Require wand's API library and basic ctypes
from wand.api import library
from ctypes import c_void_p, c_size_t

# Tell Python's wand library about the MagickWand Compression Quality (not Image's Compression Quality)
library.MagickSetCompressionQuality.argtypes = [c_void_p, c_size_t]

# Do work as before
from wand.image import Image

with Image(filename=filename) as img:
    img.resize(width=scaled_width, height=scaled_hight)
    # Set the optimization level through the linked resources of 
    # the image instance. (i.e. `wand.image.Image.wand`)
    library.MagickSetCompressionQuality(img.wand, 75)
    img.save(filename=output_destination)

Original Answer

There are many types of "optimization" for png format, but I'm under the impression your seeking a way to reduce image size.

I believe wand.Image.compression_quality is what your looking for.

from wand.image import Image

with Image(filename=filename) as img:
    img.resize(width=scaled_width, height=scaled_hight)
    img.compression_quality = 75
    img.save(filename=output_destination)

The above will not reduce quality to 75% as you would expect with the JPEG format, but instruct which PNG-compression library/algo/filter to use. See PNG compression & Better PNG Compression examples.

+-----+
| 7 5 |
+-----+
| 0 . | Huffman compression (no-zlib)
| 1 . | zlib compression level 1
| 2 . | zlib compression level 2
| 3 . | zlib compression level 3
| 4 . | zlib compression level 4
| 5 . | zlib compression level 5
| 6 . | zlib compression level 6
| 7 . | zlib compression level 7
| 8 . | zlib compression level 8
| 9 . | zlib compression level 9
| . 0 | No data encoding/filtering before compression
| . 1 | "Sub" data encoding/filtering before compression
| . 2 | "Up" data encoding/filtering before compression
| . 3 | "Average" data encoding/filtering before compression
| . 4 | "Paeth" data encoding/filtering before compression
| . 5 | "Adaptive" data encoding/filtering before compression
+-----+

So setting the quality to 75 will compress using zlib level 7 after performing an adaptive filter. Note this is just the level and filter, not the optimization strategy. The optimization strategy can be set with the CLI option -define png:compression-strategy=zs however wand has yet to implement image artifact methods.



来源:https://stackoverflow.com/questions/34617422/how-to-optimize-image-size-using-wand-in-python

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